Principal Software Engineer / PMTS - Bangalore

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Job Category

Software Engineering

Job Details

**About Salesforce**

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Role Description

Salesforce has immediate opportunities for software engineers who want their lines of code to have significant and measurable positive impact for users, the company’s bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality.

Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level) We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower the individuals, the product, the company, and the customers they serve to thrive.

Your Impact

As a Principal Member of Technical Staff (PMTS)/Software Architect at Salesforce, you will leverage deep expertise to lead the architectural design and technical implementation of critical, large-scale systems, ensuring they remain robust, efficient, and innovative.

• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
• Lead the end-to-end architecture, technical implementation, and scaling of critical, intricate full-stack and distributed systems, including the design and evolution of highly scalable APIs.
• Drive technical excellence and innovation across the organization by establishing high standards for code quality, performance, reliability, and security; championing best practices, advanced CI/CD pipelines, and emerging enterprise technologies.
• Mentor and inspire team members, fostering a culture of continuous learning and growth, while collaborating with cross-functional teams to align technical strategy with business outcomes.

Required Skills :

• A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
• 10+ years of experience in full-stack software development and large-scale system architecture.
• Mastery of multiple programming languages and design patterns used in enterprise systems (e.g., Java, Python, C++, Go, Node.JS, Scala, C#).
• Broad knowledge of web standards related to APIs, such as REST, SOAP, WSDL, HTTP, JSON, etc.
• Solid understanding of relational and non-relational da…